Triple
T6277159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weinberg angle |
E140688
|
entity |
| Predicate | scaleDependent |
P46165
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Weinberg angle, scaleDependent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleDependent Context triple: [Weinberg angle, scaleDependent, yes]
-
A.
scalingProperty
Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
-
B.
associatedScale
chosen
Indicates that one entity is linked or connected to a particular scale used to measure, classify, or evaluate it.
-
C.
dimensionDependentProperties
Indicates that certain properties or characteristics of an entity vary as a function of its dimensional attributes (such as size, length, or number of dimensions).
-
D.
representationDependsOn
Indicates that one representation is reliant on or derived from another representation in order to be valid, complete, or interpretable.
-
E.
frameDependent
Indicates that the truth or interpretation of the relationship depends on the particular reference frame, context, or perspective from which it is evaluated.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063d96fbc8190a9091456b82762d1 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.